Multicell migration tracking within angiogenic networks by deep learning-based segmentation and augmented Bayesian filtering
Cell migration is a key feature for living organisms. Image analysis tools are useful in studying cell migration in three-dimensional (3-D) in vitro environments. We consider angiogenic vessels formed in 3-D microfluidic devices (MFDs) and develop an image analysis system to extract cell behaviors f...
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Main Authors: | , , , |
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Other Authors: | |
Format: | Article |
Language: | English |
Published: |
2018
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/87775 http://hdl.handle.net/10220/45505 |
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Institution: | Nanyang Technological University |
Language: | English |